Machine Learning-based Longitudinal Study of Post-ICU Syndrome Development Trajectory in Critically Ill Patients and Construction of Clinical Early Warning Models: a Research Protocol for Longitudinal Study

This project intends to track and evaluate whether post-ICU syndrome will occur 7 days, 1 month, 3 months and 6 months after ICU patients are transferred out of the ICU through a longitudinal study, apply the latent category growth model to identify different trajectory patterns of post-ICU syndrome in critically ill patients, and use modern machine learning models to build an early warning model of the trajectory patterns of post-ICU syndrome.

Study Overview

Study Type

Observational

Enrollment (Estimated)

840

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Guizhou
      • GuiYang, Guizhou, China, 550004
        • Recruiting
        • Affiliated Hospital of Guizhou Medical University
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Stage one involved studying patients discharged from the ICU and their families to investigate the occurrence and factors influencing post-intensive care syndrome (PICS), identifying various developmental patterns of PICS. A minimum sample size of 840 patients and 420 family members was established. Stage two focused on developing and evaluating a machine learning-based early warning model for PICS. The model construction utilized data from stage one, while the evaluation included 525 patients and 393 family members who met the exclusion criteria.

Description

Inclusion Criteria patients :

  • Length of stay in ICU ≥24h;
  • Age ≥18 years old;
  • Conscious when leaving ICU, communicating with investigators without barriers;
  • Informed consent. Family members:
  • One family member ≥18 years of age was selected for each patient;
  • Assume the main role of caring for patients and medical decision-making;
  • No history of mental illness or other serious organic diseases;
  • Informed consent and voluntary participation in this study.

Exclusion Criteria patients :

  • Have been in ICU for more than 24h within 3 months before this admission;
  • Transferred to another ICU;
  • Cognitive impairment existed before ICU admission (BDRS > 4 points);
  • Severe hearing impairment, dysarthria, etc., which cannot be followed up;
  • Unable to complete the questionnaire survey due to serious illness.

Family members:

  • Family members refuse to participate in the study due to their own reasons;
  • Severe hearing and language impairment, unable to cooperate with researchers.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Correlation scale score
Time Frame: 2024-2026

Patient:

  1. Post-icu syndrome assessment of ICU survivors: Healthy Aging Brain Care monitoring(HABC Monitor) score;
  2. ICU related Memory: Intensive Care Unit Memory Tool (ICUMT);
  3. Sleep quality: Richards-Campbell Sleep Questionnaire (RCSQ);
  4. Perceived Social Support Scale (PSSS).

Family members:

  1. Sleep quality of family members: Richards-Campbell Sleep Questionnaire (RCSQ);
  2. anxiety and Depression of family members: Hospital anxiety and Depression Scale score;
  3. Family fatigue: Scores of fatigue rating Scale;
  4. PTSD of family members: Event Impact Scale score;
2024-2026

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Chair: Li Yao, Affiliated Hospital of Guizhou Medical University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

December 1, 2023

Primary Completion (Estimated)

June 1, 2025

Study Completion (Estimated)

June 1, 2026

Study Registration Dates

First Submitted

May 19, 2024

First Submitted That Met QC Criteria

May 19, 2024

First Posted (Actual)

May 23, 2024

Study Record Updates

Last Update Posted (Actual)

May 31, 2025

Last Update Submitted That Met QC Criteria

May 26, 2025

Last Verified

June 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • ZHKYQ202316
  • No. ZHKYQ202316 (Other Grant/Funding Number: Chinese Nursing Association)
  • No. Gyfynsfc[2023]35 (Other Grant/Funding Number: The Affiliated Hospital of Guizhou Medical University)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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